J. Greilhuber

4.9k total citations · 1 hit paper
43 papers, 3.0k citations indexed

About

J. Greilhuber is a scholar working on Plant Science, Ecology, Evolution, Behavior and Systematics and Molecular Biology. According to data from OpenAlex, J. Greilhuber has authored 43 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Plant Science, 20 papers in Ecology, Evolution, Behavior and Systematics and 19 papers in Molecular Biology. Recurrent topics in J. Greilhuber's work include Chromosomal and Genetic Variations (25 papers), Plant Taxonomy and Phylogenetics (11 papers) and Plant Reproductive Biology (9 papers). J. Greilhuber is often cited by papers focused on Chromosomal and Genetic Variations (25 papers), Plant Taxonomy and Phylogenetics (11 papers) and Plant Reproductive Biology (9 papers). J. Greilhuber collaborates with scholars based in Austria, United States and Italy. J. Greilhuber's co-authors include R. Obermayer, Elvira Hörandl, Eva M. Temsch, Svetlana Bancheva, Martin A. Lysák, Armin Meister, Sergio Lucretti, Jaroslav Doležel, Bellis Kullman and Ilia J. Leitch and has published in prestigious journals such as Nucleic Acids Research, SHILAP Revista de lepidopterología and Molecular Ecology.

In The Last Decade

J. Greilhuber

42 papers receiving 2.9k citations

Hit Papers

The Origin, Evolution and Proposed Stabilization of the T... 2004 2026 2011 2018 2004 100 200 300 400 500

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
J. Greilhuber Austria 25 2.3k 1.3k 1.3k 670 165 43 3.0k
Gonzalo Nieto Feliner Spain 26 1.8k 0.8× 1.2k 0.9× 1.8k 1.4× 1.1k 1.6× 228 1.4× 107 3.1k
Vera Hemleben Germany 36 2.1k 0.9× 1.6k 1.2× 666 0.5× 582 0.9× 272 1.6× 91 3.0k
Jaume Pellicer United Kingdom 30 2.1k 0.9× 1.6k 1.2× 1.4k 1.1× 792 1.2× 158 1.0× 103 3.2k
Marcelo Guerra Brazil 35 3.3k 1.4× 1.8k 1.3× 1.6k 1.2× 655 1.0× 105 0.6× 130 4.0k
B. G. Murray New Zealand 23 1.4k 0.6× 951 0.7× 816 0.6× 390 0.6× 160 1.0× 80 2.1k
Scot A. Kelchner United States 20 860 0.4× 1.2k 0.9× 1.5k 1.2× 490 0.7× 121 0.7× 27 2.2k
Josep A. Rosselló Spain 20 1.2k 0.5× 751 0.6× 960 0.7× 438 0.7× 130 0.8× 117 1.8k
Evgeny V. Mavrodiev United States 24 1.4k 0.6× 1.1k 0.8× 1.0k 0.8× 415 0.6× 124 0.8× 81 2.2k
Hanna Weiss‐Schneeweiss Austria 28 1.8k 0.8× 965 0.7× 1.2k 0.9× 640 1.0× 68 0.4× 75 2.3k
Mark E. Mort United States 25 1.2k 0.5× 1.6k 1.2× 2.1k 1.7× 721 1.1× 126 0.8× 75 3.0k

Countries citing papers authored by J. Greilhuber

Since Specialization
Citations

This map shows the geographic impact of J. Greilhuber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by J. Greilhuber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites J. Greilhuber more than expected).

Fields of papers citing papers by J. Greilhuber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by J. Greilhuber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by J. Greilhuber. The network helps show where J. Greilhuber may publish in the future.

Co-authorship network of co-authors of J. Greilhuber

This figure shows the co-authorship network connecting the top 25 collaborators of J. Greilhuber. A scholar is included among the top collaborators of J. Greilhuber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with J. Greilhuber. J. Greilhuber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Greilhuber, J., et al.. (2009). Selective significance of genome size in a plant community with heavy metal pollution. Ecological Applications. 19(6). 1515–1521. 32 indexed citations
2.
Karlin, Eric F., Sandra B. Boles, Mariana Ricca, et al.. (2009). Three‐genome mosses: complex double allopolyploid origins for triploid gametophytes in Sphagnum. Molecular Ecology. 18(7). 1439–1454. 39 indexed citations
3.
Greilhuber, J.. (2007). Cytochemistry and C-values: The Less-well-known World of Nuclear DNA Amounts. Annals of Botany. 101(6). 791–804. 59 indexed citations
4.
Gregory, T. Ryan, James Nicol, Hellis Tamm, et al.. (2006). Eukaryotic genome size databases. Nucleic Acids Research. 35(Database). D332–D338. 326 indexed citations
5.
Greilhuber, J., et al.. (2006). Smallest Angiosperm Genomes Found in Lentibulariaceae, with Chromosomes of Bacterial Size. Plant Biology. 8(6). 770–777. 167 indexed citations
6.
Paun, Ovidiu, J. Greilhuber, Eva M. Temsch, & Elvira Hörandl. (2006). Patterns, sources and ecological implications of clonal diversity in apomictic Ranunculus carpaticola (Ranunculus auricomus complex, Ranunculaceae). Molecular Ecology. 15(4). 897–910. 93 indexed citations
7.
Såstad, Sigurd M., et al.. (2005). A secondary hybrid zone between diploid Dactylorhiza incarnata ssp. cruenta and allotetraploid D. lapponica (Orchidaceae). Heredity. 94(5). 488–496. 52 indexed citations
8.
Obermayer, R. & J. Greilhuber. (2005). Does genome size in Dasypyrum villosum vary with fruit colour?. Heredity. 95(1). 91–95. 12 indexed citations
9.
Greilhuber, J.. (2004). Intraspecific Variation in Genome Size in Angiosperms: Identifying its Existence. Annals of Botany. 95(1). 91–98. 218 indexed citations
10.
Temsch, Eva M., R. Obermayer, Jaroslav Doležel, & J. Greilhuber. (2001). Application of an optical immersion-gel in a flow cytometer with horizontally oriented objective. Biotechnic & Histochemistry. 76(1). 11–14.
11.
Dimitrova, Dessislava & J. Greilhuber. (2001). C‐Banding Patterns and Quantitative Karyotype Characteristics of Bulgarian Species of Crepis (Asteraceae). Plant Biology. 3(1). 88–97. 8 indexed citations
12.
Greilhuber, J., et al.. (2000). Origin of facultative heterochromatin in the endosperm ofGagea lutea (Liliaceae). PROTOPLASMA. 212(3-4). 217–226. 18 indexed citations
13.
Greilhuber, J., et al.. (1999). Feulgen Densitometry: Importance of a Stringent Hydrolysis Regime. Plant Biology. 1(5). 538–540. 9 indexed citations
14.
Greilhuber, J. & R. Obermayer. (1998). Genome size variation inCajanus cajan (Fabaceae): A reconsideration. Plant Systematics and Evolution. 212(1-2). 135–141. 42 indexed citations
15.
Greilhuber, J., et al.. (1996). Genome size in wild Pisum species. Theoretical and Applied Genetics. 93-93(5-6). 717–721. 25 indexed citations
16.
Greilhuber, J., et al.. (1996). Flow cytometric and Feulgen densitometric analysis of genome size variation in Pisum. Theoretical and Applied Genetics. 92-92(3-4). 297–307. 80 indexed citations
17.
Greilhuber, J. & R. Obermayer. (1993). Cryptopolyploidy in Bunias (Brassicaceae) revisited _ A flowcytometric and densitrometic study. Plant Systematics and Evolution. 218. 4 indexed citations
18.
Greilhuber, J., et al.. (1983). Estimation of relative DNA density in heterochromatin from C-band karyotypes (Critical remarks). Heredity. 51(3). 665–668. 1 indexed citations
19.
Tunner, Heinz G., et al.. (1982). Premeiotic chromosome doubling after genome elimination during spermatogenesis of the species hybrid Rana esculenta. Theoretical and Applied Genetics. 61(2). 101–104. 66 indexed citations
20.
Greilhuber, J.. (1977). Why plant chromosomes do not show G-bands. Theoretical and Applied Genetics. 50(3). 121–124. 71 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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